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Anja Hennemuth

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Jan-Martin Kuhnigk

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Publications

2022
[j21]
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  - journals/mia/IvantsitsGKHBKP22
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  - https://dblp.org/rec/journals/mia/IvantsitsGKHBKP22
Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern H. Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth:
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge. Medical Image Anal. 77: 102333 (2022)
2021
[e1]
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  - conf/miccai/2020cada
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Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits, Jan-Martin Kuhnigk:
Cerebral Aneurysm Detection - First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12643, Springer 2021, ISBN 978-3-030-72861-8 [contents]
2020
[c49]
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  - conf/miccai/IvantsitsGKHBKP20
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Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Anja Hennemuth:
Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA). CADA@MICCAI 2020: 3-17
[c48]
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  - conf/miccai/IvantsitsKHKH20
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Matthias Ivantsits, Jan-Martin Kuhnigk, Markus Hüllebrand, Titus Kühne, Anja Hennemuth:
Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection. CADA@MICCAI 2020: 31-38
[c45]
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  - conf/miccai/HullebrandIZKKK20
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Markus Hüllebrand, Matthias Ivantsits, Hannu Zhang, Peter Kohlmann, Jan-Martin Kuhnigk, Titus Kühne, Stefan O. Schönberg, Anja Hennemuth:
Comparison of a Hybrid Mixture Model and a CNN for the Segmentation of Myocardial Pathologies in Delayed Enhancement MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 319-327

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